At Convr, we offer different risk scores to measure different things. They all deliver a similar benefit in that they provide a score to crystalize where a risk falls on the distribution of similar risks. Helping producers and underwriters evaluate where a business is on the quality of risk spectrum can mean the difference between the decision to write or a declination. It can also translate directly to pricing adequacy or not.
Achieving superior underwriting performance with d3 Risk Score
Better Risk Quantification
Make better decisions quickly with more accurate, interpretable, and granular measures of risk
Grow your book of business fast and profitably through focused insights
Avoidance of Most Costly Claims
Calibrate individual risks and predict those most likely to experience a loss in the coming year
Improve underwriting margins through better control of risk selection
Workplace Safety Score
AI Features: Spatial Features
Convr's spatial features are created using machine learning models trained on 75 variables from 5+ million US businesses. The three information-rich spatial features can be used in pricing models, underwriting rules, and in spatial segmentation.
Segmentation using traditional State related variables
Segmentation using Convr’s information-rich spatial features - Variable 1
Segmentation using Convr’s information-rich spatial features - Variable 2
Segmentation using Convr’s information-rich spatial features - Variable 3
Granular spatial features - include information about business classes, revenue, number of employees, vehicles, mileage driven, bankruptcies, buildings, residential units, drivers, and more.